diff --git a/miplearn/components/tests/test_cuts.py b/miplearn/components/tests/test_cuts.py
deleted file mode 100644
index 66b38c9..0000000
--- a/miplearn/components/tests/test_cuts.py
+++ /dev/null
@@ -1,31 +0,0 @@
-#  MIPLearn: Extensible Framework for Learning-Enhanced Mixed-Integer Optimization
-#  Copyright (C) 2020, UChicago Argonne, LLC. All rights reserved.
-#  Released under the modified BSD license. See COPYING.md for more details.
-import numpy as np
-import pyomo.environ as pe
-
-from miplearn import Instance, GurobiPyomoSolver, LearningSolver
-from miplearn.problems.knapsack import ChallengeA
-
-
-class CutInstance(Instance):
-    def to_model(self):
-        model = pe.ConcreteModel()
-        model.x = x = pe.Var([0, 1], domain=pe.Binary)
-        model.OBJ = pe.Objective(expr=x[0] + x[1], sense=pe.maximize)
-        model.eq = pe.Constraint(expr=2 * x[0] + 2 * x[1] <= 3)
-        return model
-
-    def get_instance_features(self):
-        return np.zeros(0)
-
-    def get_variable_features(self, var, index):
-        return np.zeros(0)
-
-
-def test_cut():
-    challenge = ChallengeA()
-    gurobi = GurobiPyomoSolver()
-    solver = LearningSolver(solver=gurobi, time_limit=10)
-    solver.solve(challenge.training_instances[0])
-    # assert False